应用精准养蜂系统监测蜂蜜日产量。
Application of A Precision Apiculture System to Monitor Honey Daily Production.
机构信息
Department of Agricultural, Food and Forest Sciences, viale delle Scienze ed. 4, University of Palermo, 90128 Palermo, Italy.
出版信息
Sensors (Basel). 2020 Apr 3;20(7):2012. doi: 10.3390/s20072012.
Precision beekeeping or precision apiculture is an apiary management strategy based on the monitoring of individual bee colonies to minimize resource consumption and maximize the productivity of bees. Bees play a fundamental role in ensuring pollination; they can also be considered as indicators of the state of pollution and are used as bio monitors. Beekeeping needs continuous monitoring of the animals and can benefit from advanced intelligent ambiance technologies. The aim of this study was the design of a precision apiculture system (PAS) platform for monitoring and controlling the following environmental parameters: wind, temperature, and relative humidity inside and outside the hive, in order to assess their influence on honey production. PAS is based on an Arduino board with an Atmel microcontroller, and the connection of a load cell for recording the weight of the hive, relative humidity and temperature sensor inside the hive, and relative humidity and temperature sensor outside the hive using an anemometer. PAS was installed in common hives and placed in an open field in a French honeysuckle plot; the system was developed to operate in continuous mode, monitoring the period of 24 April-1 June 2019. Temperature was constant in the monitored period, around 35 °C, inside the hive, proving that no criticalities occurred regarding swarming or absconding. In the period between 24 and 28 May, a lack of honey production was recorded, attributed to a lowering of the external temperature. PAS was useful to point out the eventual reduction in honey production due to wind; several peaks of windiness exceeding 5 m s were recorded, noting that honey production decreases with the peaks in wind. Therefore, the data recorded by PAS platform provided a valid decisional support to the operator. It can be implemented by inserting additional sensors for detecting other parameters, such as rain or sound.
精准养蜂或精准蜂业是一种基于监测个体蜂群以最小化资源消耗并最大化蜜蜂生产力的养蜂管理策略。蜜蜂在确保授粉方面发挥着基础性作用;它们还可以被视为污染状况的指标,并被用作生物监测器。养蜂需要持续监测动物,并可以受益于先进的智能环境技术。本研究的目的是设计一个用于监测和控制以下环境参数的精准蜂业系统 (PAS) 平台:蜂巢内外的风、温度和相对湿度,以评估它们对蜂蜜产量的影响。PAS 基于带有 Atmel 微控制器的 Arduino 板,以及用于记录蜂巢重量、蜂巢内相对湿度和温度传感器以及蜂巢外相对湿度和温度传感器的称重传感器的连接,使用风速计。PAS 被安装在普通蜂箱中,并放置在法国忍冬种植园的开阔地;该系统旨在连续运行,监测 2019 年 4 月 24 日至 6 月 1 日的时间段。在监测期间,蜂巢内的温度保持恒定,约为 35°C,证明没有出现分蜂或逃蜂等异常情况。在 5 月 24 日至 28 日期间,记录到蜂蜜产量下降,归因于外部温度降低。PAS 有助于指出由于风导致的蜂蜜产量的潜在减少;记录到多个超过 5 m s 的风速峰值,注意到蜂蜜产量随着风速峰值的增加而减少。因此,PAS 平台记录的数据为操作人员提供了有效的决策支持。可以通过插入用于检测其他参数(如雨或声音)的附加传感器来实现。